ADO是 Active Data Object缩写,是针对当前 Microsoft软件所支持的数据进行操作的最有效、最简单、功能最强大的方法。它能自如地控制数据的显示、查询以及对数据的修改、删除和添加。通过本章 学习,应该掌握以下内容: 1.ADO各种对象和集合 2.利用ADO存取组件进行数据库连接利用 Dreamweaver编辑各种超连接的方法

What to publish? Full-length articles are about 5, 000 words: a series of experiments making a coherent story Short notes are about 200 words General rule: it is better to publish one solid paper than to split it into two or three short notes Articles in books and reports are less prestigious: publish your primary data in international journals

1. Binary Choice Model for Panel Data

Testing for AR(IS eria Correlation Want to be able to test for whether the errors are serially correlated or not Want to test the null thatp=0 in u,=pu, 1 +et=2.. where u is the model error

一、数据库基础 二、结构化查询语言SQL 三、数据管理器 四、Data控件 五、ADO数据控件 六、数据报表 七、数据库应用实例

Gross Domestic Product (GDP) Defintion: GDP is the total market value of all final goods and services produced by a country Final versus Intermediate By final\, we mean the goods and service that are purchased for final use by purchaser and not for resale or further processing. The meaning intermediate is opposite to final

It is often stated by those in the meat and refrigeration industries that 'anyone can measure a temperature. Many millions of measurements are made of both meat and environmental temperatures in the meat industry. However, in many cases the measurements made are an unreliable guide to the effectiveness of the refrigeration process. Even when the correct tem- peratures have been obtained the data are often poorly analysed and rarely acted upon

The increased application of temperature legislation in many countries. coupled with economic requirements to maximise throughput, minimise weight loss and operate refrigeration systems in the most efficient manner, has created a very large demand for process design data on all aspects of

1. to know the origin, operation and disadvantages of asynchronous serial data transmissioneaching 2. to understand the main idea and organization of the tex Objective

4.0引言 一、决策问题的表格表示损失矩阵对无观察(No-data)问题a= 可用表格(损失矩阵)替代决策树来描述决策问题的后果(损失):